Senior Data Engineer (Only W2)

Job Title: Senior Data Engineer

Duration:12+ months plus possible extension

Location: Remote

Job Summary

The Senior Data Engineer will lead complex analytics programs and deliver enterprise-grade BI and forecasting solutions with minimal oversight.

Responsibilities:

• Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards.
• Liaise with stakeholders within the company to understand their needs and concerns and develop concise analytics to provide actionable insights to influence product strategy and performance.
• Analyze and define success and performance metrics for current and new business initiatives, with a specific focus on A/B tests.
• Integrate and curate data from a wide range of internal and external sources to develop detailed reports and dashboards.
• Use data visualization tools to explain your results simply and succinctly to technical, non-technical, and senior audiences.
• Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large, complex datasets.
• Guide business leaders with confidence in your analytics and reporting to ensure smooth execution.

Skills & Experience required:

• Minimum of 5 years hands-on experience in a data analyst role.
• Minimum of 2 years hands on experience with Cloud Services (Databricks)
• Working capabilities in scripting languages such as Python.
• Strong experience with Data Visualization tools such as Tableau.
• Strong capabilities in SQL and experience working with structured and semi-structured data.
• Strong interpersonal and communication skills with Agile/Scrum experience.
• Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical information and concepts to multiple organization levels.
• A bachelor's degree or higher in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering.